Derivation of Pool Dynamics from Microscopic Neuronal Models. - Julian Eggert; J. Leo van Hemmen (ICANN, 1997)

Exact differential equation population dynamics for integrate-and-fire neurons. - Julian Eggert; Berthold Bäuml (NIPS, 2001)

Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. - Julian Eggert; Berthold Bäuml; J. Leo van Hemmen (Neurocomputing, 2001)

Modeling Neuronal Assemblies: Theory and Implementation. - Julian Eggert; J. Leo van Hemmen (Neural Comput., 2001)

Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. - Botond Szatmáry; Barnabás Póczos; Julian Eggert; Edgar Körner; András Lörincz (ECAI, 2002)

Sparse Coding with Invariance Constraints. - Heiko Wersing; Julian Eggert; Edgar Körner (ICANN, 2003)

Building a Motion Resolution Pyramid by Combining Velocity Distributions. - Julian Eggert; Volker Willert; Edgar Körner (DAGM-Symposium, 2004)

Sparse coding and NMF. - Julian Eggert; Edgar Körner (IJCNN, 2004)

Transformation-invariant representation and NMF. - Julian Eggert; Heiko Wersing; Edgar Körner (IJCNN, 2004)

Probabilistic Color Optical Flow. - Volker Willert; Julian Eggert; Sebastian Clever; Edgar Körner (DAGM-Symposium, 2005)

Short Term Memory and Pattern Matching with Simple Echo State Networks. - Georg Fette; Julian Eggert (ICANN (1), 2005)

Learning viewpoint invariant object representations using a temporal coherence principle. - Wolfgang Einhäuser; Jörg F. Hipp; Julian Eggert; Edgar Körner; Peter König (Biol. Cybern., 2005)

Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems. - Antonello Ceravola; Frank Joublin; Mark Dunn; Julian Eggert; Marcus Stein; Christian Goerick (IROS, 2006)

Non-Gaussian velocity distributions integrated over space, time, and scales. - Volker Willert; Julian Eggert; Jürgen Adamy; Edgar Körner (IEEE Trans. Syst. Man Cybern. Part B, 2006)

A Probabilistic Model for Binaural Sound Localization. - Volker Willert; Julian Eggert; Jürgen Adamy; Raphael Stahl; Edgar Körner (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Template Matching for Large Transformations. - Julian Eggert; Chen Zhang; Edgar Körner (ICANN (2), 2007)

Sparse and Transformation-Invariant Hierarchical NMF. - Sven Rebhan; Julian Eggert; Horst-Michael Groß; Edgar Körner (ICANN (1), 2007)

Uncertainty optimization for robust dynamic optical flow estimation. - Volker Willert; Marc Toussaint; Julian Eggert; Edgar Körner (ICMLA, 2007)

Walking Appearance Manifolds without Falling Off. - Nils Einecke; Julian Eggert; Sven Hellbach; Edgar Körner (ICONIP (1), 2007)

Multi-dimensional Histogram-Based Image Segmentation. - Daniel Weiler; Julian Eggert (ICONIP (1), 2007)

A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation. - Florian Röhrbein; Julian Eggert; Edgar Körner (NeSy, 2007)

A Probabilistic Method for Motion Pattern Segmentation. - Daniel Weiler; Volker Willert; Julian Eggert; Edgar Körner (IJCNN, 2007)

Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation. - Volker Willert; Jens Schmüdderich; Julian Eggert (BMVC, 2008)

Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. - Sven Hellbach; Sören Strauss; Julian Eggert; Edgar Körner; Horst-Michael Gross (ICANN (1), 2008)

A Probabilistic Prediction Method for Object Contour Tracking. - Daniel Weiler; Volker Willert; Julian Eggert (ICANN (1), 2008)

Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. - Volker Willert; Julian Eggert; Marc Toussaint; Edgar Körner (ICMLA, 2008)

Time Series Analysis for Long Term Prediction of Human Movement Trajectories. - Sven Hellbach; Julian Eggert; Edgar Körner; Horst-Michael Gross (ICONIP (2), 2008)

Incremental Learning in the Non-negative Matrix Factorization. - Sven Rebhan; Waqas Sharif; Julian Eggert (ICONIP (2), 2008)

Tracking with Depth-from-Size. - Chen Zhang; Volker Willert; Julian Eggert (ICONIP (1), 2008)

Attention Modulation Using Short- and Long-Term Knowledge. - Sven Rebhan; Florian Röhrbein; Julian Eggert; Edgar Körner (ICVS, 2008)

Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information. - Jens Schmüdderich; Volker Willert; Julian Eggert; Sven Rebhan; Christian Goerick; Gerhard Sagerer; Edgar Körner (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF. - Sven Hellbach; Julian Eggert; Edgar Körner; Horst-Michael Gross (ICANN (2), 2009)

Tracking with Multiple Prediction Models. - Chen Zhang; Julian Eggert (ICANN (2), 2009)

A stochastic dynamical system for optical flow estimation. - Volker Willert; Julian Eggert (ICCV Workshops, 2009)

Demand-Driven Visual Information Acquisition. - Sven Rebhan; Andreas Richter; Julian Eggert (ICVS, 2009)

Robust Tracking by Means of Template Adaptation with Drift Correction. - Chen Zhang; Julian Eggert; Nils Einecke (ICVS, 2009)

Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. - Florian Röhrbein; Julian Eggert; Edgar Körner (IJCNN, 2009)

Level-set segmentation with contour based object representation. - Daniel Weiler; Florian Röhrbein; Julian Eggert (IJCNN, 2009)

Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF. - Julian Eggert; Sven Hellbach; Alexander Kolarow; Edgar Körner; Horst-Michael Gross (KI, 2009)

Experimental Evaluation of Approaches for Long Term Prediction of Human Movement Trajectories. - Sven Hellbach; Julian Eggert; Edgar Körner; Horst-Michael Gross (Aust. J. Intell. Inf. Process. Syst., 2009)

Approaches and Challenges for Cognitive Vision Systems. - Julian Eggert; Heiko Wersing (Creating Brain-Like Intelligence, 2009)

A Two-Stage Correlation Method for Stereoscopic Depth Estimation. - Nils Einecke; Julian Eggert (DICTA, 2010)

Evaluation of Direct Plane Fitting for Depth and Parameter Estimation. - Nils Einecke; Julian Eggert (DICTA, 2010)

Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. - Alexander Denecke; Irene Ayllón Clemente; Heiko Wersing; Julian Eggert; Jochen Jakob Steil (ESANN, 2010)

Adaptive velocity tuning for visual motion estimation. - Volker Willert; Julian Eggert (ESANN, 2010)

Exploiting hierarchical prediction structures for mixed 2d-3d tracking. - Chen Zhang; Julian Eggert (ESANN, 2010)

Binary Sparse Coding. - Marc Henniges; Gervasio Puertas; Jörg Bornschein; Julian Eggert; Jörg Lücke (LVA/ICA, 2010)

Layered Motion Segmentation with a Competitive Recurrent Network. - Julian Eggert; Joerg Deigmoeller; Volker Willert (ICANN (2), 2010)

A probabilistic method for hierarchical 2D-3D tracking. - Chen Zhang; Julian Eggert (IJCNN, 2010)

System approach for multi-purpose representations of traffic scene elements. - Jens Schmüdderich; Nils Einecke; Stephan Hasler; Alexander Gepperth; Bram Bolder; Robert Kastner; Mathias Franzius; Sven Rebhan; Benjamin Dittes; Heiko Wersing; Julian Eggert; Jannik Fritsch; et al. (ITSC, 2010)

Direct Surface Fitting. - Nils Einecke; Sven Rebhan; Julian Eggert; Volker Willert (VISAPP (2), 2010)

Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences. - Volker Willert; Julian Eggert (VISAPP (2), 2010)

Expectation Truncation and the Benefits of Preselection In Training Generative Models. - Jörg Lücke; Julian Eggert (J. Mach. Learn. Res., 2010)

Dynamic, Task-Related and Demand-Driven Scene Representation. - Sven Rebhan; Julian Eggert (Cogn. Comput., 2011)

Modeling short-term adaptation processes of visual motion detectors. - Volker Willert; Julian Eggert (Neurocomputing, 2011)

Unsupervised learning of motion patterns. - Thomas Guthier; Julian Eggert; Volker Willert (ESANN, 2012)

Ternary Sparse Coding. - Georgios Exarchakis; Marc Henniges; Julian Eggert; Jörg Lücke (LVA/ICA, 2012)

Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives. - Christian Vollmer; Julian Eggert; Horst-Michael Groß (ICANN (1), 2012)

Deciding what to inspect first: Incremental situation assessment based on information gain. - Matthias Platho; Julian Eggert (ITSC, 2012)

Traffic situation assessment by recognizing interrelated road users. - Matthias Platho; Horst-Michael Gross; Julian Eggert (ITSC, 2012)

Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data. - Christian Vollmer; Julian Eggert; Horst-Michael Gross (KI, 2012)

Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding. - Thomas Guthier; Adrian Sosic; Volker Willert; Julian Eggert (SIGMAP, 2012)

Learning associative spatiotemporal features with non-negative sparse coding. - Thomas Guthier; Steve Gerges; Volker Willert; Julian Eggert (ESANN, 2013)

Learning Features for Activity Recognition with Shift-Invariant Sparse Coding. - Christian Vollmer; Horst-Michael Gross; Julian Eggert (ICANN, 2013)

Non-negative sparse coding for motion extraction. - Thomas Guthier; Volker Willert; Andrea Schnall; Karel Kreuter; Julian Eggert (IJCNN, 2013)

Learning driving situations and behavior models from data. - Matthias Platho; Horst-Michael Gross; Julian Eggert (ITSC, 2013)

Stereo image warping for improved depth estimation of road surfaces. - Nils Einecke; Julian Eggert (Intelligent Vehicles Symposium, 2013)

Predicting Velocity Profiles of Road Users at Intersections Using Configurations. - Matthias Platho; Horst-Michael Groß; Julian Eggert (Intelligent Vehicles Symposium, 2013)

Anisotropic Median Filtering for Stereo Disparity Map Refinement. - Nils Einecke; Julian Eggert (VISAPP (2), 2013)

Beyond histograms: why learned structure-preserving descriptors outperform HOG. - Thomas Guthier; Volker Willert; Julian Eggert (ESANN, 2014)

sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. - Thomas Guthier; Adrian Sosic; Volker Willert; Julian Eggert (ICANN, 2014)

Predictive risk maps. - Florian Damerow; Julian Eggert (ITSC, 2014)

Predictive risk estimation for intelligent ADAS functions. - Julian Eggert (ITSC, 2014)

Block-matching stereo with relaxed fronto-parallel assumption. - Nils Einecke; Julian Eggert (Intelligent Vehicles Symposium, 2014)

Combining behavior and situation information for reliably estimating multiple intentions. - Stefan Klingelschmitt; Matthias Platho; Horst-Michael Groß; Volker Willert; Julian Eggert (Intelligent Vehicles Symposium, 2014)

Monocular Rear Approach Indicator for Motorcycles. - Joerg Deigmoeller; Herbert Janssen; Oliver Fuchs; Julian Eggert (VISAPP (3), 2014)

Sparse coding of human motion trajectories with non-negative matrix factorization. - Christian Vollmer; Sven Hellbach; Julian Eggert; Horst-Michael Gross (Neurocomputing, 2014)

Efficient occlusive components analysis. - Marc Henniges; Richard E. Turner; Maneesh Sahani; Julian Eggert; Jörg Lücke (J. Mach. Learn. Res., 2014)

Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty. - Florian Damerow; Julian Eggert (ITSC, 2015)

Complex Lane Change Behavior in the Foresighted Driver Model. - Julian Eggert; Florian Damerow (ITSC, 2015)

Using Context Information and Probabilistic Classification for Making Extended Long-Term Trajectory Predictions. - Stefan Klingelschmitt; Julian Eggert (ITSC, 2015)

Balancing risk against utility: Behavior planning using predictive risk maps. - Florian Damerow; Julian Eggert (Intelligent Vehicles Symposium, 2015)

The Foresighted Driver Model. - Julian Eggert; Florian Damerow; Stefan Klingelschmitt (Intelligent Vehicles Symposium, 2015)

A multi-block-matching approach for stereo. - Nils Einecke; Julian Eggert (Intelligent Vehicles Symposium, 2015)

Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme. - Stefan Klingelschmitt; Florian Damerow; Julian Eggert (Intelligent Vehicles Symposium, 2015)

Topological Sparse Learning of Dynamic Form Patterns. - Thomas Guthier; Volker Willert; Julian Eggert (Neural Comput., 2015)

Stereo Visual Odometry Without Temporal Filtering. - Joerg Deigmoeller; Julian Eggert (GCPR, 2016)

Camera to map alignment for accurate low-cost lane-level scene interpretation. - Gaoya Cao; Florian Damerow; Benedict Flade; Markus Helmling; Julian Eggert (ITSC, 2016)

Spatio-temporal trajectory similarity and its application to predicting lack of interaction in traffic situations. - Florian Damerow; Stefan Klingelschmitt; Julian Eggert (ITSC, 2016)

Solomon curve 2020: Relating microscopic risk models with accident statistics. - Julian Eggert (ITSC, 2016)

Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling. - Stefan Klingelschmitt; Volker Willert; Julian Eggert (ITSC, 2016)

Extensions for the Foresighted Driver Model: Tactical lane change, overtaking and continuous lateral control. - Florian Damerow; Benedict Flade; Julian Eggert (Intelligent Vehicles Symposium, 2016)

Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes. - Stefan Klingelschmitt; Florian Damerow; Volker Willert; Julian Eggert (Intelligent Vehicles Symposium, 2016)

Toward Self-Referential Autonomous Learning of Object and Situation Models. - Florian Damerow; Andreas Knoblauch; Ursula Körner; Julian Eggert; Edgar Körner (Cogn. Comput., 2016)

Risk-based driver assistance for approaching intersections of limited visibility. - Florian Damerow; Tim Puphal; Yuda Li; Julian Eggert (ICVES, 2017)

Behavior-based relative self-localization in intersection scenarios. - Benedict Flade; Edoardo Casapietra; Christian Goerick; Julian Eggert (ITSC, 2017)

Lane Detection Based Camera to Map Alignment Using Open-Source Map Data. - Benedict Flade; Marcos Nieto; Gorka Vélez; Julian Eggert (ITSC, 2018)

Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. - Tim Puphal; Malte Probst; Yiyang Li; Yosuke Sakamoto; Julian Eggert (Intelligent Vehicles Symposium, 2018)

Which tool to use? Grounded reasoning in everyday environments with assistant robots. - Lydia Fischer; Stephan Hasler; Joerg Deigmoeller; Thomas Schnuerer; Michael Redert; Ulrike Pluntke; Katrin Nagel; Chris Senzel; Joern Ploennigs; Andreas Richter; Julian Eggert (CogRob@KR, 2018)

Risk estimation for driving support and behavior planning in intelligent vehicles. - Julian Eggert (Autom., 2018)

Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps. - Florian Damerow; Tim Puphal; Benedict Flade; Yuda Li; Julian Eggert (IEEE Intell. Transp. Syst. Mag., 2018)

Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World. - Julian Eggert; Jörg Deigmöller; Lydia Fischer; Andreas Richter (KEOD, 2019)

Action Representation for Intelligent Agents Using Memory Nets. - Julian Eggert; Jörg Deigmöller; Lydia Fischer; Andreas Richter (IC3K, 2019)

A Foresighted Driver Model derived from Integral Expected Risk. - Julian Eggert; Fabian Müller (ITSC, 2019)

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. - Tim Puphal; Malte Probst; Misa Komuro; Yiyang Li; Julian Eggert (ITSC, 2019)

Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. - Tim Puphal; Malte Probst; Julian Eggert (IEEE Trans. Intell. Veh., 2019)

Probabilistic Unified Risk Estimation: General Survival Theory (GST) and TTX Risk Measures. - Julian Eggert (ITSC, 2020)

Time-Course Sensitive Collision Probability Model for Risk Estimation. - Fabian Müller; Julian Eggert (ITSC, 2020)

Proactive Risk Navigation System for Real-World Urban Intersections. - Tim Puphal; Benedict Flade; Daan de Geus; Julian Eggert (ITSC, 2020)

Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. - Benedict Flade; Axel Koppert; Gorka Vélez; Anweshan Das; David Bétaille; Gijs Dubbelman; Oihana Otaegui; Julian Eggert (IEEE Intell. Transp. Syst. Mag., 2020)

Error Decomposition for Hybrid Localization Systems. - Benedict Flade; Simon Kohaut; Julian Eggert (ITSC, 2021)

Analysis of the Generalized Intelligent Driver Model (GIDM) for Uncontrolled Intersections. - Karsten Kreutz; Julian Eggert (ITSC, 2021)

Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. - Malte Probst; Raphael Wenzel; Tim Puphal; Misa Komuro; Thomas H. Weisswange; Nico Steinhardt; Bram Bolder; Benedict Flade; Yosuke Sakamoto; Yuji Yasui; Julian Eggert (ITSC, 2021)

Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations. - Karsten Kreutz; Julian Eggert (IV, 2021)

Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces. - Raphael Wenzel; Malte Probst; Tim Puphal; Thomas H. Weisswange; Julian Eggert (IV, 2021)

Situational Question Answering over Commonsense Knowledge Using Memory Nets. - Joerg Deigmoeller; Pavel Smirnov 004; Julian Eggert; Chao Wang 055; Johane Takeuchi (IC3K, 2022)

Situational Question Answering using Memory Nets. - Joerg Deigmoeller; Pavel Smirnov 004; Viktor Losing; Chao Wang 055; Johane Takeuchi; Julian Eggert (KDIR, 2022)

Robustifying Car-Following Models with Explicit Reaction Times. - Karsten Kreutz; Julian Eggert (ITSC, 2022)

Fast online parameter estimation of the Intelligent Driver Model for trajectory prediction. - Karsten Kreutz; Julian Eggert (IV, 2022)

Graph Based Pattern Classification for NLU and Slot Filling: Approach and Analysis. - Julian Eggert; Johane Takeuchi (NLPIR, 2022)

Extraction of Common Physical Properties of Everyday Objects from Structured Sources. - Viktor Losing; Julian Eggert (NLPIR, 2022)

Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. - Tim Puphal; Benedict Flade; Malte Probst; Volker Willert; Jürgen Adamy; Julian Eggert (IEEE Trans. Intell. Veh., 2022)

A User Interface for Sense-making of the Reasoning Process while Interacting with Robots. - Chao Wang 055; Joerg Deigmoeller; Pengcheng An; Julian Eggert (CHI Extended Abstracts, 2023)

Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects. - Julian Eggert; Joerg Deigmoeller; Pavel Smirnov 004; Johane Takeuchi; Andreas Richter (KEOD, 2023)

How do Drivers Take a Curve? The Comfort Factor Model (CFM). - Julian Eggert; Karsten Kreutz; Lina Gaumann; Jürgen Adamy (ITSC, 2023)

Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. - Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (ITSC, 2023)

Introducing Risk Shadowing for Decisive and Comfortable Behavior Planning. - Tim Puphal; Julian Eggert (ITSC, 2023)

Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots. - Felix Ocker; Joerg Deigmoeller; Julian Eggert (ISWC (Posters/Demos/Industry), 2023)

Importance Filtering with Risk Models for Complex Driving Situations. - Tim Puphal; Raphael Wenzel; Benedict Flade; Malte Probst; Julian Eggert (CoRR, 2023)

Continuous Risk Measures for Driving Support. - Julian Eggert; Tim Puphal (CoRR, 2023)

A Glimpse in ChatGPT Capabilities and its impact for AI research. - Frank Joublin; Antonello Ceravola; Joerg Deigmoeller; Michael Gienger; Mathias Franzius; Julian Eggert (CoRR, 2023)

Benchmarking the Ability of Large Language Models to Reason About Event Sets. - Svenja Kenneweg; Jörg Deigmöller; Philipp Cimiano; Julian Eggert (KEOD, 2024)

Reducing Warning Errors in Driver Support with Personalized Risk Maps. - Tim Puphal; Ryohei Hirano; Takayuki Kawabuchi; Akihito Kimata; Julian Eggert (ICVES, 2024)

StaR Maps: Unveiling Uncertainty in Geospatial Relations. - Benedict Flade; Simon Kohaut; Julian Eggert; Devendra Singh Dhami; Kristian Kersting (ITSC, 2024)

Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. - Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (CoRR, 2024)

Towards Probabilistic Clearance, Explanation and Optimization. - Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (CoRR, 2024)

Tulip Agent - Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries. - Felix Ocker; Daniel Tanneberg; Julian Eggert; Michael Gienger (CoRR, 2024)

The Constitutional Filter. - Simon Kohaut; Felix Divo; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (CoRR, 2024)

Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing. - Simon Kohaut; Nikolas Hohmann; Sebastian Brulin; Benedict Flade; Julian Eggert; Markus Olhofer; Jürgen Adamy; Devendra Singh Dhami; Kristian Kersting (CoRR, 2024)

Probabilistic Mission Design in Neuro-Symbolic Systems. - Simon Kohaut; Benedict Flade; Daniel Ochs; Devendra Singh Dhami; Julian Eggert; Kristian Kersting (CoRR, 2025)

A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Event Types. - Svenja Kenneweg; Jörg Deigmöller; Julian Eggert; Philipp Cimiano (CoRR, 2025)

TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References. - Svenja Kenneweg; Jörg Deigmöller; Philipp Cimiano; Julian Eggert (CoRR, 2025)

A Grounded Memory System For Smart Personal Assistants. - Felix Ocker; Jörg Deigmöller; Pavel Smirnov 004; Julian Eggert (CoRR, 2025)

The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents. - Simon Kohaut; Felix Divo; Navid Hamid; Benedict Flade; Julian Eggert; Devendra Singh Dhami; Kristian Kersting (CoRR, 2025)